Data Scientist - Exchange Analytics, MoPub
A unique opportunity to analyze petabytes of data while collaborating and contributing to the growth and success of leading app developers, partners, and best industry experts in mobile ad-tech.
MoPub is the world’s leading ad server for mobile application publishers, designed to drive more ad revenue through a single solution. We offer the first comprehensive monetization platform for mobile app publishers that combines real-time-bidding, ad serving, cross-promotional capabilities and ad network mediation into one, easy-to-use platform. We are proudly a part of the Twitter Flock since October 2013.
MoPub is looking for Data Scientist to help drive growth of the MoPub platform and marketplace. Data Scientist on MoPub team will be working close with engineering and product teams on a range of problems around auction dynamics, advertising yield, and marketplaces. You will evaluate our products and work with like minded individuals to improve them. You will bring statistical rigor to our products and pioneer machine learning approach in few areas.
WHAT YOU’LL DO:
You will be working cross functionally with MoPub teams to analyze, optimize, test, and implement data solutions for our partners and directly contribute to the growth of our business. Our team members are expected to have strong statistical and technical background, fluency in data analysis, results interpretation, and most importantly, enthusiasm for solving analytic problems at scale.
Analyze data to understand exchange players and pinpoint opportunities for improvement
Synthesize data and create analytical testing framework to support product launches
Translate business requirements into research components and data requirements. Being able to express the problem in algorithmic terms and implement the solution is key!
Perform validation and testing of models to ensure adequacy and reformulate of models as necessary
Partner with engineering team to implement models and statistical solutions
Communicate and present findings to the business and technical stakeholders
Work with client’s data and research teams to improve efficiency of the exchange
WHO YOU ARE:
If is sounds like it might be you, you probably have -
Experience in performing analysis on big data sets
Able to connect business hypotheses and real world problems to data models
Express verbal or written data problems in forms of algorithms and implement them
Familiarity with Advertising Data Exchanges
Familiarity with experiment design and testing at scale
Experience building data pipelines
Good communication and collaboration skills
Quantitative advanced degree
Strong ability to interpret data signals and present to technical and non-technical audience
MS in Statistics, Computer Science, Econometrics, Computational Research or related field
5+ years of experience in quantitative analysis and research
Proficiency with SQL and Python
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Engineering Hiring Process
Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.
If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.
If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.
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